Lead the design and deployment of scalable machine learning systems, optimizing performance and collaborating with teams to create production-ready solutions.
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
As a Principal Machine Learning Systems Engineer, you will lead the design, development, and deployment of scalable machine learning (ML) systems and infrastructure. You will collaborate closely with data scientists, software engineers, and product teams to translate complex ML models into production-ready solutions. Your responsibilities include optimizing model performance, ensuring system reliability, and implementing efficient data pipelines. You will drive architectural decisions for high-performance computing and cloud-based ML platforms, ensuring scalability and security. Additionally, you will mentor junior engineers, promote best practices in ML operations (MLOps), and stay updated on emerging technologies to guide strategic innovation. Your role is critical in delivering robust, scalable, and efficient machine learning solutions that support business growth and innovation.
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits .
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
As a Principal Machine Learning Systems Engineer, you will lead the design, development, and deployment of scalable machine learning (ML) systems and infrastructure. You will collaborate closely with data scientists, software engineers, and product teams to translate complex ML models into production-ready solutions. Your responsibilities include optimizing model performance, ensuring system reliability, and implementing efficient data pipelines. You will drive architectural decisions for high-performance computing and cloud-based ML platforms, ensuring scalability and security. Additionally, you will mentor junior engineers, promote best practices in ML operations (MLOps), and stay updated on emerging technologies to guide strategic innovation. Your role is critical in delivering robust, scalable, and efficient machine learning solutions that support business growth and innovation.
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits .
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .
Top Skills
Cloud Computing
High-Performance Computing
Machine Learning
Mlops
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Scaled Sales Associate, you will guide SMB customers through their Atlassian journey, generate leads, and develop strategic customer relationships to drive success.
Top Skills:
Common RoomCrm SoftwareLinkedin Sales NavigatorOutreachSalesforceZoominfo
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Solutions Engineer, you'll support sales by solving customer problems with Atlassian products, manage client needs, and conduct demos.
Top Skills:
Atlassian ProductsPlatforms
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As an Account Manager, you will manage strategic accounts, driving revenue growth, developing customer relationships, and influencing sales cycles while ensuring customer satisfaction.
Top Skills:
ClariSalesforceTableau
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
